Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Anas Alanqar"'
Publikováno v:
Computers & Chemical Engineering. 116:156-175
In this work, we investigate the effects of various types of valve behavior (e.g., linear valve dynamics and stiction) on the effectiveness of process control in a unified framework based on systems of nonlinear ordinary differential equations that c
Publikováno v:
Journal of Loss Prevention in the Process Industries. 53:74-88
Model predictive control (MPC) has been widely adopted in the chemical and petrochemical industry due to its ability to account for actuator constraints and multi-variable interactions for complex processes. However, closed-loop stability is not guar
Publikováno v:
IFAC-PapersOnLine. 50:15910-15915
In this work, two novel Lyapunov-based model predictive control (LMPC) designs that can ensure process operational safety (termed safety-LMPC) are presented. The two LMPC designs can drive the closed-loop state to a safety region (a level set within
Publikováno v:
IFAC-PapersOnLine. 50:3517-3523
In this work, we present a data-driven methodology to overcome actuator faults using a model-based feedback controller that optimizes process economics termed economic model predictive control (EMPC). Specifically, we utilize a moving horizon error d
Publikováno v:
Industrial & Engineering Chemistry Research. 56:5652-5667
In this work, we present a data-driven methodology to overcome actuator faults in empirical model-based feedback control. More specifically, we introduce the use of a moving horizon error detector that quantifies prediction errors and triggers updati
Publikováno v:
AIChE Journal. 63:1892-1906
Managing production schedules and tracking time-varying demand of certain products while optimizing process economics are subjects of central importance in industrial applications. We investigate the use of economic model predictive control (EMPC) in
Publikováno v:
AIChE Journal. 63:949-966
In industry, it may be difficult in many applications to obtain a first-principles model of the process, in which case a linear empirical model constructed using process data may be used in the design of a feedback controller. However, linear empiric
Publikováno v:
AIChE Journal. 62:2391-2409
Maintaining safe operation of chemical processes and meeting environmental constraints are issues of paramount importance in the area of process systems and control engineering, and are ideally achieved while maximizing economic profit. It has long b
Publikováno v:
AIChE Journal. 61:3353-3373
The focus of this work is on economic model predictive control (EMPC) that utilizes well-conditioned polynomial nonlinear state-space (PNLSS) models for processes with nonlinear dynamics. Specifically, the article initially addresses the development
Publikováno v:
ACC
In this work, we propose initial steps in the first systems safety approach that coordinates the control and safety systems through a common metric (a Safeness Index) and develop a controller formulation that incorporates this index. Specifically, th